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Parallel Optimization of the MM5 Adjoint Model

Authors: Hongyu Li; Jie Bian; Shijin Yuan; Jiachuan Qin;

Parallel Optimization of the MM5 Adjoint Model

Abstract

The PSU/NCAR mesoscale model (MM5) and its adjoint model are widely used in some fields of meteorology such as adaptive observations for tropical cyclone prediction. Although the parallel optimization is provided in MM5, the corresponding adjoint model has not been parallelized, which limits the widespread use of MM5. So it is of great importance to develop a parallel MM5 adjoint model. In this paper, we propose a parallel implementation of the MM5 adjoint model by utilizing Runtime System Library (RSL) and Fortran Loop Index Converter (FLIC). Due to the character of the automatic transformation of FLIC, the workload of refactoring is far less than that based on classical MPI. Experiment results show that a near linear growth of acceleration could be achieved with appropriate grid decomposition.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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